Productivity Analysis

Course Code:

ISE 365

Course Type:

Area Elective

Credits:

3

Theoric:

3

Practice:

0

Laboratory Hour:

0

ECTS:

5

Course Language:

English

Courses given by:

Yasemin Claire Erensal

Course Objectives:

The aim of this course is to provide students an understanding of the principles and techniques used in the improvement and measurement of productivity, as well as concepts of work study and their application to the human-machine system design and interaction. The objective is to equip students with the ability to use and apply the techniques of method study, work measurement, motion study to improve productivity in different industries.

Course Content:

Productivity Concept, Operations analysis-motion study; man-machine relationship; time study; predetermined time systems; performance rating; standard data techniques; work sampling; wage payment plans. Practical, detailed advice is given on all aspects of motion and time study including work station design, job analysis, and the techniques of setting time standards. The course places productivity analysis in the context of lean manufacturing.

Course Methodology:

1: Lecture, 2: Question-Answer, 3: Lab, 4: Case-study

Course Evaluation Methods:

A: Testing, B: Experiment, C: Homework, D: Project

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Course Learning Outcomes

Course Learning Outcomes	Program Learning Outcomes	Teaching Methods	Assessment Methods
1. To examine an existing work situation and to conduct a work improvement programme in both a manufacturing, or service company in order to identify low productivity.	3	1,2,4	A,D
2. To apply appropriate recording techniques to improve existing, or design new work methods and procedures.	11	1,2,4	A,C
3. To select an appropriate measurement technique (time study and PMTS) and apply it to measure the standard time for the work involved.	3	1,2,4	A,D
4. To be able to design a work sampling study, apply it to variable work situation, analyse the results, and estimate the standard time for the work involved.	3	1,2,4	A,C
5. To recognise the objectives of work standards in both manufacturing and service companies, evaluate its effectiveness, and to apply wage incentive system techniques recognising their limitations when considering relevant constraints.	3	1,2,4	A,C
6. Will develop a deeper understanding of how performance analysis can aid in improving the performance and well-being of people at work and will be able to carry out task and function analysis	11	1,2,4	A,C

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1	Introducing Productivity, Productivity Analysis, Welcome and content details	Lecture Notes
2	Documentation, Problem Solving Tools I: Explaratory Tools	Lecture Notes
3	Documentation, Problem Solving Tools II:Recording and Analysis	Lecture notes
4	Documentation, Problem Solving Tools III: Quantitative Tools: Worker-Machine Relationships	Textbook & Lecture notes
5	Operation Analysis	Textbook & Lecture notes
6	Proposed Method Implementation	Textbook & Lecture notes
7	MIDTERM EXAM I	Textbook & Lecture notes
8	Time Study	Textbook & Lecture notes
9	Performance Rating	Textbook & Lecture notes
10	Allowances	Textbook & Lecture notes
11	Work Sampling	Textbook & Lecture notes
12	Standard Data, Predetermined Time Systems	Textbook & Lecture notes
13	Wage Payment	Textbook & Lecture notes
14	CASE STUDY AND REVIEW	Project Presentations

Recommended Sources

RECOMMENDED SOURCES
Textbook	1. B.W.Niebel, A.Freivalds Methods, Standards, and Work Design. Eleventh Edition, (2003) 2. Wickens, W. D., Lee, J. D., Liu, Y., Gordon Becker, S. E. An Introduction to Human Factors Engineering. (2nd ed.).Pearson Prentice Hall.(2004) ISBN: 0-13-183736-2
Additional Resources	Lecture notes shared on network

Material Sharing

MATERIAL SHARING
Documents	Lecture Notes, quizzes
Quizzes	Quizzes (1-5)
Assignments	Case Study & Project
Exams	Midterm Exam, Final

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Mid-terms	1	40
Quiz	5	10
Assignments: Case Study & Project	4	50
Total		100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		40
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		60
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM
No	Program Learning Outcomes	Contribution
No	Program Learning Outcomes	1	2	3	4	5
1	Adequate background in Mathematics, Natural Sciences and the Industrial and Systems Engineering discipline.
2	Ability to identify, model and solve complex problems in the area of Industrial and Systems Engineering.
3	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired requirements.				X
4	Ability to employ information technologies effectively in Industrial and Systems Engineering applications and develop and/or use modern techniques and tools for these applications.
5	Ability to design and conduct experiments and interpret results to analyze problems in the area of Industrial and Systems Engineering.
6	Ability to take responsibility both individually and as a team member to solve unforeseen problems that arise in intra-disciplinary and inter-disciplinary projects.
7	Ability to access information in the area of Industrial and Systems Engineering and to report and communicate this information to others using a foreign language (English) at the European Language Portfolio C1 General Level.
8	Ability to follow current issues and recent developments in science and technology by accessing databases and other sources of information and to continue to educate oneself.
9	Awareness of scientific and ethical responsibility in professional matters.
10	Ability to initiate innovative projects in the area of Industrial and Systems Engineering and to manage these projects considering all aspects.
11	Ability to identify the impact of Industrial and Systems Engineering applications on health, environment and safety; awareness of the legal consequences of Industrial and Systems Engineering solutions.					X

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Lectures)	14	3	42
Quizzes	5	0.5	2,5
Homework: Case Study +Project	6	4	42
Midterm examination	1	2	2
Off-the-classroom study for the midterm exam	1	16	16
Final examination	1	2	2
Off-the-classroom study for the final exam	1	20	20
Total Work Load			126,5
Total Work Load / 25 (h)			5,06
ECTS Credit of the Course			5

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Productivity Analysis

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